Application of Big Data Analysis Method in Supply Chain
Dou Xin-xin,
Wang Xiao-ping
Issue:
Volume 4, Issue 1, September 2016
Pages:
1-5
Received:
21 August 2016
Accepted:
29 August 2016
Published:
30 August 2016
Abstract: Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.
Abstract: Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing ...
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A Complex Network-Based Approach for Analysis of Drug Usage
Lianhong Ding,
Ke Xuan,
Ruiping Yuan
Issue:
Volume 4, Issue 1, September 2016
Pages:
6-12
Received:
31 October 2016
Accepted:
14 November 2016
Published:
25 November 2016
Abstract: The status of drug usage for patients is important for the research about clinical application. This paper analyzes the drug usage in an eye hospital. Two approaches are adopted for the analysis procedure. There are statistics and complex theory. Four networks for different kinds of drugs are built first. Then degree property of these networks is used. Finally, the comparison between the two methods is conducted. The comparison results show node degree of drug network can reflect the drug using frequency well.
Abstract: The status of drug usage for patients is important for the research about clinical application. This paper analyzes the drug usage in an eye hospital. Two approaches are adopted for the analysis procedure. There are statistics and complex theory. Four networks for different kinds of drugs are built first. Then degree property of these networks is u...
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